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检索条件"主题词=Compression algorithms"

共 2074 条记录，以下是351-360 订阅

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Generalized Atom and Dictionary Design and Compressive Sensing for Vocal Signal Expansion 9

Generalized Atom and Dictionary Design and Compressive Sensi...

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9th Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA ASC)

作者： Ding, Jian-Jiun Hua, Shiang-Chih Chang, Ronald Y. Lee, Yih-Cherng Natl Taiwan Univ Grad Inst Commun Engn Taipei Taiwan Acad Sinica Res Ctr Informat Technol Innovat Taipei Taiwan

ISBN: (纸本)9781538615423

Compressive sensing is to apply the sparsity of a signal in some domain to compress a signal. Its performance highly depends on the dictionary and the atoms one applies in the matching pursuit or the basis pursuit processes. In this paper, we generalize the atoms used in the dictionary by converting the phase into the higher order form, using Hermite-Gaussian functions instead of Gaussian functions, and applying harmonic combination. We call them higher-order atoms. This generalization can maximize the sparsity of a signal and is very helpful for improving the coding efficiency. Moreover, we also propose the time-frequency pursuit, which can be viewed as a mixture of the matching pursuit and the basis pursuit, to determine expansion coefficients. Simulations show that the proposed algorithm can much improve the coding efficiency of vocal signals and the bit rate is much less than that of MP3 and other compressive sensing based methods.

关键词： Time-frequency analysis Matching pursuit algorithms Harmonic analysis Dictionaries Encoding Compressed sensing compression algorithms

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Symmetry-compressible graphs

Symmetry-compressible graphs

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Data compression Conference (DCC)

作者： Cibej, Uros Mihelic, Jurij Univ Ljubljana Ljubljana Slovenia

ISBN: (纸本)9781509067213

This article describes an alternative representation of graphs, using symmetries. We define the class of graphs that are compressed using this representation as symmetry-compressible graphs. This class of graphs is extended into the class of near symmetry-compressible graphs, which includes many more graphs arising in practical applications. To demonstrate the practical potential of the proposed concepts, an empirical evaluation of two algorithms is given.

关键词： Image coding Data compression compression algorithms Image reconstruction Bipartite graph Presses

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DAC: Dedup-Assisted compression Scheme for Improving Lifetime of NAND Storage Systems 20

DAC: Dedup-Assisted Compression Scheme for Improving Lifetim...

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20th Conference and Exhibition on Design, Automation and Test in Europe (DATE)

作者： Park, Jisung Lee, Sungjin Kim, Jihong Seoul Natl Univ Seoul South Korea Inha Univ Incheon South Korea

ISBN: (纸本)9783981537093

Thanks to an aggressive scaling of semiconductor devices, the capacity of NAND flash-based solid-state-drives (SSDs) has increased greatly. However, this benefit comes at the expense of a serious degradation of NAND device's lifetime. In order to improve the lifetime of flash-based SSDs, various data reduction techniques, such as deduplication, lossless compression, and delta compression, are rapidly adopted to SSDs. Although each technique has been extensively studied, efficiently combining these techniques in a synergistic fashion was not thoroughly investigated. In this paper, we propose a novel dedup-assisted compression (DAC) scheme that integrates existing data reduction techniques so that potential benefits of individual ones can be maximized while overcoming their inherent limitations. By doing so, DAC greatly reduces the amount of write traffic sent to SSDs. DAC also requires negligible resources by utilizing existing hardware modules. Our evaluation results show that the proposed DAC decreases the amount of written data by up to 30% over a simple integration of deduplication and lossless compression.

关键词： Entropy Hardware Encoding Engines compression algorithms Pattern matching Data compression

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Multi-stream word-based compression algorithm

Multi-stream word-based compression algorithm

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International Conference on Computer Science and Engineering (UBMK)

作者： Emir Öztürk Altan Mesut Banu Diri Trakya Universitesi Edirne TR Yildiz Teknik Universitesi Istanbul TR

In this article, we present a novel word-based lossless compression algorithm for text files which uses a semi-static model. We named our algorithm as Multi-stream Word-based compression Algorithm (MWCA), because it stores the compressed forms of the words in three individual streams depending on their frequencies in the text. It also stores two dictionaries and a bit vector as a side information. In our experiments MWCA obtains compression ratio over 3,23 bpc on average and 2,88 bpc on files larger than 50 MB. If a variable length encoder like Huffman Coding is used after MWCA, given ratios will reduce to 2,63 and 2,44 bpc respectively. With the advantage of its multi-stream structure MWCA could become a good solution especially for storing and searching big text data.

关键词： compression algorithms Art Dictionaries Huffman coding Jacobian matrices Markov processes

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Improved CAN compression algorithm by data reordering

Improved CAN compression algorithm by data reordering

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International SoC Design Conference, ISOCC

作者： Yeon-Jin Kim Yang Zou Jin-Gyun Chung Division of Electronic Engineering Chonbuk National University South Korea

Controller Area Network (CAN) has become the most widely used protocol in automotive network due to its efficiency and robustness. However, CAN bus with its limited bandwidth may get overloaded due to the increase of the bus load. Thus, it is important to reduce the amount of data to be transferred without reducing the amount of information. In this paper, we propose a data reordering algorithm for efficient CAN data compression. It is shown that we can achieve up to 50% more compression ratios by the proposed algorithm.

关键词： Data compression compression algorithms Flowcharts Convergence Electronic mail Protocols Automotive engineering

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Data compression and decompression Integrated Circuit for AC Power Quality data

Data compression and decompression Integrated Circuit for AC...

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Annual IEEE Northeast Workshop on Circuits and Systems (NEWCAS)

作者： Marcos Hervé Cristiano Thiele Diógenes Machado Guilherme Wojichowski Cesar Crovato Sergio Bampi Altamiro Susin Embrasul Indústria Eletrônica LTDA Porto Alegre Brazil Electronic Engineering Department FEEVALE Hamburgo Brazil UFRGS PGMICRO - Informatics Institute Porto Alegre Brazil

ISBN: (纸本)9781509049929

This paper presents the integration of a Power Quality (PQ) data compression/decompression Application Specific Integrated Circuit (ASIC) into an AC power quality analyzer. The integration of the ASIC improves substantially the system data storage capabilities. The paper describes the compression algorithms implemented in dedicated CMOS circuitry. compression results obtained from real power line measurements are herein shown to prove the effectiveness of our compression/decompression ASIC. This chip has a die area of 15mm 2 , more than 400k 2-input logic gates equivalent, and 10 SRAM modules, all integrated into a 180nm digital CMOS technology. To the best of our knowledge this is the first lossy compression/decompression ASIC design for registering power quality trends over time, which is also compliant with the IEC 61000-4-30 standard accuracy requirements, fully tested and functional in a Class A system hardware PQ analyzer.

关键词： Power quality Voltage measurement Data compression compression algorithms Power measurement Application specific integrated circuits Harmonic analysis

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IP core for efficient zero-run length compression of CNN feature maps

IP core for efficient zero-run length compression of CNN fea...

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Telecommunications Forum (TELFOR)

作者： Andrea Erdeljan Bogdan Vukobratović Rastislav Struharik Faculty of Technical Sciences University of Novi Sad Novi Sad Frobas GmbH Forstern Germany

Convolutional Neural Networks (CNNs) are becoming a fundamental tool for machine learning. High performance and energy efficiency are of great importance for deployments of CNNs in many embedded applications. Energy consumption during CNN processing is dominated by memory access and since large networks do not fit on on-chip storage, they require expensive DRAM access. This paper introduces an universal Output Stream Manager (OSM) which can be used to compress and format data coming from a CNN accelerator and reduce external memory access. The OSM exploits the sparsity of data and implements two Zero-Run Length encoding algorithms and can be easily reconfigured to optimize usage for different CNN layers.

关键词： Random access memory Memory management Field programmable gate arrays Encoding compression algorithms IP networks

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Effective Lossless compression of Sensor Information in Manufacturing Industry

Effective Lossless Compression of Sensor Information in Manu...

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Conference on Local Computer Networks (LCN)

作者： Hagen Sparka Roman Naumann Stefan Dietzel Björn Scheuermann Humboldt-Universität zu Berlin Germany

In recent years, many visions for hitherto considered-futuristic computing applications gained momentum. The vision of smart factories is one example for these trends, which all share a common requirement: the prolific dissemination of sensor information. As wireless communication in smart factories needs to cope with harsh environments, the amount of sensor information produced by sources will likely surpass the communication channel's available capacity. This discrepancy calls for efficient communication and filtering protocols, as well as compression mechanisms, as a foundation for dependable applications. We propose such a compression algorithm that is lossless and tailored towards the requirements of the manufacturing industry. Our algorithm employs a two-step stochastic model that uses lossy compression to extract an approximation from the signal and a separate noise model to accommodate the remaining error. Evaluation results validate that our algorithm achieves better compression rates than existing approaches for several types of real world sensor data from the industry.

关键词： Wireless sensor networks Production facilities Discrete cosine transforms Entropy Wireless communication compression algorithms

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Elastic Data compression with Improved Performance and Space Efficiency for Flash-Based Storage Systems

Elastic Data Compression with Improved Performance and Space...

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： Bo Mao Hong Jiang Suzhen Wu Yaodong Yang Zaifa Xi Software School of Xiamen University China Department of Computer Science & Engineering at University of Texas-Arlington USA Computer Science Department of Xiamen University China Microsoft Redmond WA USA

Data compression has become a commodity feature for space efficiency and reliability in flash-based storage systems by reducing write traffic and space capacity demand. However, it introduces noticeable processing overheads on the critical I/O path, which degrades the system performance significantly. Existing data compression schemes for flash-based storage systems use fixed compression algorithms for all the incoming write data, failing to recognize and exploit the significant diversity in compressibility and access patterns of data and missing an opportunity to improve the system performance, the space efficiency or both. To achieve a reasonable trade-off between these two important design objectives, in this paper we introduce an Elastic Data compression scheme, called EDC, which exploits the data compressibility and access intensity characteristics by judiciously matching data of different compressibility with different compression algorithms while leveraging the access idleness. Specifically, for compressible data blocks EDC exploits the compression diversity of the workload, and employs algorithms of higher compression rate in periods of lower system utilization and algorithms of lower compression rate in periods of higher system utilization. For non-compressible (or very lowly compressible) data blocks, it will write them through to the flash storage directly without any compression. The experiments conducted on our lightweight prototype implementation of the EDC system show that EDC saves storage space by up to 38.7%, with an average of 33.7%. In addition, it significantly outperforms the fixed compression schemes in the I/O performance measure by up to 61.4%, with an average of 36.7%.

关键词： Data compression System performance compression algorithms Time factors Market research Reliability Algorithm design and analysis

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Less is more: Increasing the scope of hardware debugging with compression

Less is more: Increasing the scope of hardware debugging wit...

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Panhellenic Conference on Electronics and Telecommunications (PACET)

作者： Fotis Kostarelos George Charitopoulos Dionisios N. Pnevmatikatos School of Electrical and Computer Engineering Technical University of Crete Chania Greece

ISBN: (纸本)9781538622889

In this work we consider the slow and tedious phase of hardware debugging in FPGAs. The process of hardware debugging is normally done via Internal Logic Analyzer (ILA) circuits, which add user observability in internal FPGA signals. The user first defines the target for debugging signal and a triggering condition. Then the ILA stores traces of it in trace buffers, these traces are finally transferred to a host PC for the user to observe. The user also has to consider the limited FPGA memory resources, which result in small-sized trace buffers, an important restriction of hardware debugging. In this paper, we attempt to increase the scope of hardware tracing, i.e. the number of samples written on the trace buffers, with the use of compression. We use the LZW algorithm and find that we can increase the debugging signals number of recorded samples by 90%, i.e. have double the amount of useful data with the same memory usage. On the memory plane we conclude that, for the same number of recorded samples, our architecture uses less than half the resources compared to the standard Xilinx ILA block for signal tracing.

关键词： Debugging Hardware Dictionaries compression algorithms Field programmable gate arrays Data compression Memory management

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